CN118691095A - Method, device, server and storage medium for generating company risk assessment report - Google Patents

Abstract

The present invention relates to the field of data processing, and discloses a method, device, server and storage medium for generating a company risk assessment report. The method comprises: calling an RPA robot to collect company risk information; inputting company domain information, risk level information, risk indicator information, company name information, registration number information, legal representative information and registered capital information in the company risk information into a pre-trained risk assessment model to obtain a risk assessment result output by the risk assessment model; extracting a target result from the risk assessment result according to a preset screening condition, and generating a company risk assessment report according to the company risk information and the target result. In an embodiment of the present invention, the evaluation efficiency and automation level are significantly improved. At the same time, the accuracy and objectivity of the evaluation are ensured. In addition, by quickly locating risks through preset screening conditions, it can assist enterprises in accurately formulating risk management strategies and achieve rapid response to potential risks.

Description

Method, device, server and storage medium for generating company risk assessment report

Technical Field

The present invention relates to the field of data processing, and in particular to a method, device, server and storage medium for generating a company risk assessment report.

Background Art

With the expansion of enterprise scale and the intensification of market competition, corporate risk assessment has become an indispensable part of enterprise management. Risk assessment can not only help enterprises identify potential risk factors, but also provide data support for the formulation of effective risk management strategies.

Conventional technical means often rely on manual collection and processing of company risk information, which not only affects the evaluation efficiency, but also the two key steps in company risk assessment may be affected by subjective judgment, information omission and other factors, resulting in inaccurate evaluation results. A new technical means is needed to solve the above technical problems.

Summary of the invention

The main purpose of the present invention is to solve the technical problem that two key steps in corporate risk assessment are affected by subjective judgment, information omission and other factors, resulting in inaccurate assessment results.

A first aspect of the present invention provides a method for generating a company risk assessment report, the method comprising:

Call RPA robots to collect company risk information;

Inputting the company domain information, risk level information, risk indicator information, company name information, registration number information, legal representative information and registered capital information in the company risk information into a pre-trained risk assessment model to obtain a risk assessment result output by the risk assessment model;

According to preset screening conditions, target results are extracted from the risk assessment results, and a company risk assessment report is generated based on the company risk information and the target results.

Optionally, in a first implementation of the first aspect of the present invention, the step of calling an RPA robot to collect company risk information includes:

Obtain information about companies to be screened;

The RPA robot is called to collect company risk information on a preset website at a regular interval according to the company information to be screened.

Optionally, in a second implementation of the first aspect of the present invention, the step of calling the RPA robot to periodically collect company risk information on a preset website according to the company information to be screened includes:

Calling the RPA robot to regularly monitor website pages on a preset website;

The risk level information, the risk indicator information, the company name information, the registration number information, the legal representative information and the registered capital information corresponding to the company information to be screened are searched and generated in the website page to obtain the company risk information.

Optionally, in a third implementation of the first aspect of the present invention, the step of obtaining the company information to be screened includes:

When the screening application form is obtained, the information of the company to be screened is extracted from the screening application form.

Call the RPA robot to log in to the dedicated mailbox according to the predetermined time interval and preset login information;

Searching for the screening application form in the dedicated mailbox;

The information of the company to be screened is extracted from the screening application form.

Optionally, in a fourth implementation manner of the first aspect of the present invention, before the step of calling the RPA robot to collect company risk information, the method further includes:

When the script information is obtained, a target RPA tool is selected in the RPA tool library, and the RPA robot is designed according to the script information and the target RPA tool.

Optionally, in a fifth implementation of the first aspect of the present invention, the step of extracting a target result from the risk assessment result according to a preset screening condition includes:

Calculate the impact, probability of occurrence, urgency, and resource requirements corresponding to each of the risk assessment results to obtain each risk assessment item;

According to the preset screening conditions and the risk assessment items, target results are extracted from each of the results to be screened.

Optionally, in a sixth implementation of the first aspect of the present invention, the step of performing a risk assessment operation on the company risk information to obtain a risk assessment result includes:

Calling the risk assessment model, analyzing the risk level information and the risk indicator information, and obtaining target indicator information with greater risk in the risk indicator information;

Furthermore, the risk assessment model is called to perform verification operations on the company name and the registration number to obtain authenticity verification results, business abnormality information, and legal dispute information;

Furthermore, the risk assessment model is called to analyze the legal representative information to obtain professional background and credit record information;

Furthermore, calling the risk assessment model, analyzing the registered capital and the company domain information, and obtaining matching information of the business scale corresponding to the registered capital and the company domain information;

The target indicator information, authenticity verification results, operational anomaly information, legal dispute information, professional background, credit record information, and matching information are integrated to obtain a risk assessment result.

A second aspect of the present invention provides a device for generating a company risk assessment report, comprising a memory and a processor, wherein the processor is used to execute program instructions stored in the memory so that the device for generating a company risk assessment report executes the above-mentioned method for generating a company risk assessment report.

A third aspect of the present invention provides a server, characterized in that it includes a memory and a processor, and the processor is used to execute program instructions stored in the memory so that the server executes the above-mentioned method for generating a company risk assessment report.

A fourth aspect of the present invention provides a computer-readable storage medium, in which instructions are stored, and when the computer-readable storage medium is run on a computer, the computer executes the above-mentioned method for generating a company risk assessment report.

In an embodiment of the present invention, an RPA robot is called to collect company risk information; the company domain information, risk level information, risk indicator information, company name information, registration number information, legal representative information and registered capital information in the company risk information are input into a pre-trained risk assessment model to obtain a risk assessment result output by the risk assessment model; according to preset screening conditions, the target result is extracted from the risk assessment result, and a company risk assessment report is generated based on the company risk information and the target result. The introduction of RPA robots to automatically collect risk information significantly improves the evaluation efficiency and automation level and reduces costs. At the same time, the use of pre-trained risk assessment models reduces subjective judgments and information omissions, ensuring the accuracy and objectivity of the evaluation. In addition, by quickly locating risks through preset screening conditions, enterprises can be assisted in accurately formulating risk management strategies and responding quickly to potential risks.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic diagram of an embodiment of a method for generating a company risk assessment report according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a specific embodiment of step 101 of the control method of the wireless charging device according to an embodiment of the present invention;

FIG3 is a schematic diagram of a specific embodiment of step 103 of the control method of the wireless charging device according to an embodiment of the present invention;

FIG4 is a schematic diagram of an embodiment of a device for generating a company risk assessment report in an embodiment of the present invention;

FIG. 5 is a schematic diagram of an embodiment of a server in an embodiment of the present invention.

DETAILED DESCRIPTION

The embodiment of the present invention provides a method, device, server and storage medium for generating a company risk assessment report.

The embodiments disclosed in the present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments disclosed in the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments disclosed in the present invention are only for exemplary purposes and are not intended to limit the scope of protection disclosed in the present invention.

In the description of the embodiments disclosed in the present invention, the term "including" and similar terms should be understood as open inclusion, that is, "including but not limited to". The term "based on" should be understood as "based at least in part on". The term "one embodiment" or "the embodiment" should be understood as "at least one embodiment". The terms "first", "second", etc. may refer to different or the same objects. Other explicit and implicit definitions may also be included below.

The terms involved in the method of generating a company risk assessment report include but are not limited to:

RPA robot: A software technology used to automate and simplify repetitive, rule-based business processes. It can perform tasks by simulating human users' operations on computers (such as keyboard input, mouse clicks, etc.), thereby improving work efficiency and reducing human errors.

Risk Assessment Model: A mathematical or statistical model used to analyze and quantify potential risks. It predicts or assesses the likelihood and impact of risks based on input data (such as company risk information), thereby helping decision makers make more informed decisions.

Company risk information: Company risk information refers to various data and information related to the company's operations, financial status, legal compliance, etc. It may include company domain information, risk level information, risk indicator information, company name, registration number, legal representative information, registered capital, etc.

Risk level information: Risk level information refers to information that rates or classifies specific risks. Generally, risks are classified into different levels based on their potential impact and probability of occurrence for better management and response.

Risk indicator information: Risk indicator information refers to specific indicators or parameters used to measure and assess company risks. These indicators may include financial indicators (such as profit margin, debt ratio), market indicators (such as market share, competitive situation), legal compliance indicators, etc.

Company name information, registration number information, legal representative information and registered capital information: This information is basic information generated during the company registration and operation process, and is of great significance for verifying the company's identity and assessing the company's strength and risk level.

Preset filter conditions: Preset filter conditions refer to the standards and rules used to filter out key or important information from a large amount of data during the risk assessment process. These conditions may be based on the output of the risk assessment model, business rules, or specific requirements of decision makers.

For ease of understanding, the specific process of an embodiment of the present invention is described below. Please refer to FIG. 1. An embodiment of a method for generating a company risk assessment report in an embodiment of the present invention includes:

101. Call the RPA robot to collect company risk information;

Specifically, the device that generates the company's risk assessment report loads the necessary system software and drivers. Subsequently, the RPA (Robotic Process Automation) robot is configured, and its execution environment and required permissions are set to access and collect relevant data sources of the company's risk information.

Under the control of the device, start the RPA robot. According to the preset script or task process, the RPA robot automatically logs in to the enterprise information management system, financial system, market monitoring platform and other data sources, and collects company risk information by simulating manual operations (such as clicking, inputting, copying and pasting, etc.). The collected information includes but is not limited to company field information, risk level information, risk indicator information, company name information, registration number information, legal representative information and registered capital information.

Optionally, the company risk assessment report generation system first triggers the RPA robot program. The RPA robot connects to the company's internal system, external data sources (such as government public information websites, industry report databases, etc.) through preset interfaces or APIs, and automatically accesses relevant websites or databases through web crawler technology. The RPA robot collects the target company's corporate risk information according to preset rules and logic, such as keyword search, page parsing, etc. The corporate risk information includes but is not limited to company field information, risk level information, risk indicator information, company name information, registration number information, legal representative information and registered capital information.

102. Input the company domain information, risk level information, risk indicator information, company name information, registration number information, legal representative information and registered capital information in the company risk information into a pre-trained risk assessment model to obtain a risk assessment result output by the risk assessment model;

Specifically, the collected company risk information can be transmitted to the storage module of the device for preprocessing, including data cleaning, format conversion, etc., to ensure that the data meets the input requirements of the risk assessment model.

The device inputs the processed data into the pre-trained risk assessment model according to the specified fields and formats. The risk assessment model can conduct a comprehensive and objective analysis of the company's risks. The risk assessment model calculates and analyzes the input company risk information and finally outputs the risk assessment results.

Optionally, the risk assessment model can be based on machine learning algorithms, such as decision trees, neural networks, random forests, etc., receive various types of input data, and output corresponding risk assessment results through calculation and analysis.

103. According to preset screening conditions, extract target results from the risk assessment results, and generate a company risk assessment report based on the company risk information and the target results.

Specifically, the results output by the risk assessment model can contain information of multiple dimensions and levels. The company risk assessment report device screens the assessment results according to the preset screening conditions (which can be formulated by the enterprise according to its own needs, such as risk level thresholds, specific risk factors, etc.) and extracts the target results. Then, the company risk assessment report is automatically generated using the report template, combining the original company risk information and the screened target results. The report content includes a detailed description of the risk factors, assessment results, potential impact analysis, and management recommendations.

In an embodiment of the present invention, an RPA robot is called to collect company risk information; the company domain information, risk level information, risk indicator information, company name information, registration number information, legal representative information and registered capital information in the company risk information are input into a pre-trained risk assessment model to obtain a risk assessment result output by the risk assessment model; according to preset screening conditions, the target result is extracted from the risk assessment result, and a company risk assessment report is generated based on the company risk information and the target result. The introduction of RPA robots to automatically collect risk information significantly improves the evaluation efficiency and automation level and reduces costs. At the same time, the use of pre-trained risk assessment models reduces subjective judgments and information omissions, ensuring the accuracy and objectivity of the evaluation. In addition, by quickly locating risks through preset screening conditions, enterprises can be assisted in accurately formulating risk management strategies and responding quickly to potential risks.

In the traditional process of generating company risk assessment reports, data collection is an important and cumbersome link. Since the sources of company risk information are wide and scattered, manual collection is not only inefficient but also prone to errors. In addition, with the expansion of enterprise scale and the intensification of market competition, the timeliness and accuracy requirements for risk assessment are becoming higher and higher. Therefore, an efficient, accurate and automated data collection method is needed to meet these requirements. In order to solve the above technical problems, the present invention proposes an optional embodiment.

Optionally, referring to FIG. 2 , FIG. 2 is a schematic diagram of a specific embodiment of step 101 of the control method of the wireless charging device in an embodiment of the present invention, and step 101 also includes the following specific implementation methods:

1011. Obtain information of companies to be screened;

Specifically, the company risk assessment report generation device determines which companies need to be risk assessed. This can be achieved by receiving external input (such as a list of companies to be assessed submitted by a user through an interface, company information read from a database or file system, etc.). The company risk assessment report generation device parses these inputs and extracts relevant information of the companies to be screened, such as unique identifiers such as company name and registration number. This information can be obtained using technical means such as API interface, file parsing, and database query.

1012. Call the RPA robot to collect company risk information on a preset website at a regular interval according to the company information to be screened.

Specifically, after obtaining the information of the company to be screened, the pre-configured RPA robot is called. The RPA robot performs scheduled access and data collection on preset websites (such as government public information websites, industry report databases, corporate credit inquiry platforms, etc.) based on the unique identifier of the company to be screened (such as company name, registration number, etc.).

The RPA robot searches and extracts company risk information related to company risks on a preset website by simulating manual operations (such as clicking, inputting, copying and pasting, etc.). Company risk information includes but is not limited to company domain information, risk level information, risk indicator information, company name information, registration number information, legal representative information, and registered capital information. The RPA robot organizes this information in a predetermined format and structure and stores it in the system for subsequent processing.

In this optional embodiment, the automated collection of company risk information by RPA robots can significantly reduce manual intervention and improve the efficiency and accuracy of data collection. RPA robots can work 24 hours a day, respond quickly to data updates, and ensure the timeliness of risk assessment. Traditional manual data collection methods require a lot of human resources and time costs. The introduction of RPA robots can automate this part of the work and reduce the operating costs of enterprises. RPA robots collect data according to preset rules and logic, avoiding errors and omissions caused by human factors. At the same time, RPA robots can access and extract the latest data in real time to ensure the reliability of risk assessment.

Traditional data collection methods often rely on manual operations, which have problems such as low efficiency and prone to errors. These problems are particularly prominent when it is necessary to regularly monitor and collect company risk information on multiple websites. In order to solve the above technical problems, the present invention proposes an optional embodiment.

Optionally, step 1012 also includes the following specific implementations:

10121. Call the RPA robot to regularly monitor website pages on a preset website;

Specifically, the RPA robot automatically starts and logs in to the designated website (such as the government public information website, corporate credit inquiry platform, etc.) according to the preset scheduled tasks (such as every early morning, every Monday, etc.).

RPA robots continuously monitor the pages of these websites, waiting for new information to be released or updated.

10122. Search and generate the risk level information, the risk indicator information, the company name information, the registration number information, the legal representative information and the registered capital information corresponding to the company information to be screened in the website page to obtain the company risk information.

Specifically, the RPA robot uses web page parsing technology to search for content related to the company information to be screened (such as company name, registration number, etc.) on the website page. It extracts and organizes key data such as company domain information, risk level information, risk indicator information, company name information, registration number information, legal representative information, and registered capital information. These data are organized according to the predetermined format and structure to generate complete company risk information.

In this optional embodiment, the RPA robot can accurately search and parse the website pages to ensure that the collected company risk information is accurate and contains all necessary fields. The RPA robot can make adaptive adjustments according to different website structures and page layouts, improving the flexibility and scalability of data collection.

Traditional information acquisition methods often rely on manual operations, which have problems such as low efficiency and prone to errors. These problems are particularly prominent when enterprises need to process a large number of screening application forms. In order to solve the above technical problems, the present invention proposes an optional embodiment.

Optionally, step 1011 also includes the following specific implementations:

10111. Call the RPA robot to log in to the dedicated mailbox according to a predetermined time interval and preset login information;

Specifically, the RPA robot automatically logs in to the designated dedicated mailbox according to the preset scheduled tasks (such as every morning, every Monday, etc.) and the preset login information (including email address, password, etc.). The above operation enables the RPA robot to regularly access the mailbox to obtain new screening application forms without human intervention.

10112. Searching for a screening application form in the dedicated mailbox;

Specifically, after logging in successfully, the RPA robot searches the mailbox for emails related to screening. The searched emails contain attachments to the screening application form or directly provide a link to the screening application form in the body of the email. The RPA robot can quickly locate these emails by searching for keywords (such as "screening application form", "risk assessment", etc.).

10113. Extract the information of the company to be screened from the screening application form.

Specifically, the RPA robot parses the screening application form found and extracts the companies to be screened.

In this optional embodiment, the RPA robot can monitor the mailbox and process new screening applications 24 hours a day, ensuring that the company can obtain the latest information on the companies to be screened in a timely manner.

The rapid development of RPA technology has provided enterprises with powerful automation tools. However, different RPA tools differ in terms of functions, performance, and ease of use. Therefore, when selecting and designing RPA robots, it is necessary to fully consider factors such as business needs, technical feasibility, and cost-effectiveness. Otherwise, its advantages cannot be brought into play through reasonable selection and design. In order to solve the above technical problems, the present invention proposes an optional embodiment.

Optionally, before step 101, the following specific implementations are also included:

201. When the script information is obtained, a target RPA tool is selected in the RPA tool library, and the RPA robot is designed according to the script information and the target RPA tool.

Specifically, according to the business needs and the specific requirements of the company's risk assessment report generation, obtain detailed information on the RPA script. The script information may include the task flow that needs to be automated, the data interaction method, the processing logic, etc.

In the RPA tool library, select the most suitable target RPA tool according to the script information requirements. You can choose the RPA tool based on factors such as compatibility, powerful functions, ease of use, and cost-effectiveness.

Design a specific implementation plan for the RPA robot based on the selected RPA tool and script information, including defining the robot's workflow, configuring necessary parameters and interfaces, and writing automation scripts.

In this optional embodiment, the customized RPA robot can simulate manual operations more accurately and improve the level of automation, which helps to reduce human errors and omissions and improve the accuracy and reliability of data processing.

Risk assessment is an indispensable part of daily business operations. However, traditional risk assessment methods often rely on manual judgment and experience accumulation, and have problems such as strong subjectivity and low efficiency. In order to solve the above technical problems, the present invention proposes an optional embodiment.

Optionally, referring to FIG. 3 , FIG. 3 is a schematic diagram of a specific embodiment of step 103 of the control method of the wireless charging device in an embodiment of the present invention, and step 103 also includes the following specific implementation methods:

1031. Calculate the impact degree, occurrence probability, urgency, and resource requirement corresponding to each to-be-screened result in the risk assessment result to obtain each risk assessment item;

1032. Extract target results from each of the results to be screened according to the preset screening conditions and the risk assessment items.

Specifically, for each result to be screened in the risk assessment results, calculate the corresponding key indicators such as impact, probability of occurrence, urgency, and resource requirements. These indicators can be calculated through a preset algorithm or model to comprehensively evaluate the importance and urgency of each risk item.

The calculated risk assessment items are screened according to the preset screening conditions (such as risk level threshold, business impact range, etc.). By comparing the degree of compliance of each risk item with the screening conditions, determine which risk items are the target results.

From the screened target results, extract specific risk information (such as risk type, description, recommended measures, etc.) so as to subsequently generate a company risk assessment report.

In this optional embodiment, by comprehensively considering multiple key indicators (such as impact level, probability of occurrence, etc.) to calculate risk assessment items, the importance and urgency of each risk item can be comprehensively evaluated. The accuracy and reliability of risk assessment are improved. The preset screening conditions can be flexibly adjusted according to business needs to achieve accurate screening of different risk items. This helps to optimize the screening process and improve screening efficiency and accuracy.

With the intensification of market competition and the increase in uncertainty in the external environment, enterprises are facing more and more risk challenges. In order to effectively deal with these risks, enterprises need to establish a scientific risk assessment system to comprehensively and accurately assess the risk status they face. Traditional risk assessment methods often rely on manual collection and analysis of data, which has problems such as low efficiency, high cost, and poor accuracy. In order to solve the above technical problems, the present invention proposes an optional embodiment.

Optionally, step 102 also includes the following specific implementations:

1021. Call the risk assessment model, analyze the risk level information and the risk indicator information, and obtain target indicator information with greater risk in the risk indicator information;

Specifically, the risk assessment model will first analyze the input risk level information and risk indicator information, and identify the target indicator information with higher risk through the algorithm. The target indicator information is an important reference in the company's risk assessment, and directly reflects the main risk points that the company may face.

1022. In addition, calling the risk assessment model, performing verification operations on the company name and the registration number, and obtaining authenticity verification results, abnormal operation information, and legal dispute information;

Specifically, the risk assessment model further verifies the company name and registration number to confirm the authenticity and legality of the company. This step will generate authenticity verification results and can also discover the company's business anomalies, legal disputes, etc.

1023. In addition, calling the risk assessment model, analyzing the legal representative information, and obtaining professional background and credit record information;

Specifically, the risk assessment model also analyzes the legal representative’s professional background and credit record information. This information is crucial to assessing the stability and reliability of the company’s management, as the legal representative’s background and reputation are often closely related to the company’s overall risk level.

1024. In addition, calling the risk assessment model, analyzing the registered capital and the company domain information, and obtaining matching information of the business scale corresponding to the registered capital and the company domain information;

Specifically, the risk assessment model will also analyze the matching degree between the registered capital and the business scale corresponding to the company's field information. First, the company's business scale is analyzed based on the company's field, and then by comparing the registered capital and the company's business scale, it can be assessed whether the company's capital strength matches its business needs, thereby determining whether the company has financial risks or operational instability risks.

1025. Integrate the target indicator information, authenticity verification results, business abnormality information, legal dispute information, professional background, credit record information, and matching information to obtain a risk assessment result.

Specifically, the risk assessment model integrates the target indicator information, authenticity verification results, business abnormality information, legal dispute information, professional background, credit record information and matching information obtained in the above steps to form a comprehensive risk assessment result.

In this optional embodiment, by comprehensively considering multiple risk factors and information sources, the risk assessment model can more comprehensively assess the company's risk status and improve the accuracy and reliability of the assessment results. The comprehensive risk assessment results can provide rich data and information support for company decision makers. By timely discovering and assessing potential risk points, the company can take countermeasures earlier, enhance its own risk response capabilities, and ensure the company's sound operation and sustainable development.

4, the embodiment of the present disclosure provides a device 400 for generating a company risk assessment report, including a device body for generating a company risk assessment report, and a device 405 for generating a company risk assessment report. The device 405 for generating a company risk assessment report includes a processor 404 and a memory 401 storing program instructions. Optionally, the device may also include a communication interface 402 and a bus 403. Among them, the processor 404, the communication interface 402, and the memory 401 can complete mutual communication through the bus 403. The communication interface 402 can be used for information transmission. The processor 404 can call the program instructions in the memory 401 to execute the method for generating a company risk assessment report in the above embodiment. In addition, the logic instructions in the above memory 401 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. The memory 401, as a computer-readable storage medium, can be used to store software programs, computer executable programs, such as program instructions/modules corresponding to the method in the embodiment of the present disclosure. The processor 404 executes the functional application and data processing by running the program instructions/modules stored in the memory 401, that is, the method for generating the company risk assessment report in the above embodiment is realized. The memory 401 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 401 may include a high-speed random access memory and may also include a non-volatile memory.

5, the embodiment of the present disclosure provides a server 500, including a processor 504 and a memory 501 storing program instructions. Optionally, the server may also include a communication interface 502 and a bus 503. The processor 504, the communication interface 502, and the memory 501 may communicate with each other through the bus 503. The communication interface 502 may be used for information transmission. The processor 504 may call the program instructions in the memory 501 to execute the method for generating a corporate risk assessment report of the above embodiment.

In addition, the logic instructions in the above-mentioned memory 501 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. The memory 501, as a computer-readable storage medium, can be used to store software programs, computer executable programs, such as program instructions/modules corresponding to the method in the embodiment of the present disclosure. The processor 504 executes functional applications and data processing by running the program instructions/modules stored in the memory 501, that is, the method for generating a company risk assessment report in the above-mentioned embodiment is realized. The memory 501 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 501 may include a high-speed random access memory and may also include a non-volatile memory.

The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiment of the present disclosure. The aforementioned storage medium may be a non-transient storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, and other media that can store program codes, or a transient storage medium.

The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent possible changes only. Unless explicitly required, separate components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates, the singular forms of "a", "an" and "the" are intended to include plural forms as well. Similarly, the term "and/or" as used in this application refers to any and all possible combinations of one or more associated listings. In addition, when used in this application, the term "comprise" and its variants "comprises" and/or comprising refer to the presence of stated features, wholes, steps, operations, elements, and/or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and/or groups thereof. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the presence of other identical elements in the process, method or device including the elements. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the embodiments may refer to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, the relevant parts can refer to the description of the method part.

Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. The technicians may use different methods for each specific application to implement the described functions, but such implementations should not be considered to exceed the scope of the embodiments of the present disclosure. The technicians may clearly understand that, for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above may refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units can be only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to implement this embodiment. In addition, each functional unit in the embodiment of the present disclosure may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.

The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims (10)

1. A method for generating a company risk assessment report, characterized in that the method for generating a company risk assessment report comprises: Call RPA robots to collect company risk information; Inputting the company domain information, risk level information, risk indicator information, company name information, registration number information, legal representative information and registered capital information in the company risk information into a pre-trained risk assessment model to obtain a risk assessment result output by the risk assessment model; According to preset screening conditions, target results are extracted from the risk assessment results, and a company risk assessment report is generated based on the company risk information and the target results. 2. The method for generating a company risk assessment report according to claim 1, wherein the step of calling an RPA robot to collect company risk information comprises: Obtain information about companies to be screened; The RPA robot is called to collect company risk information on a preset website at a regular interval according to the company information to be screened. 3. The method for generating a company risk assessment report according to claim 2, wherein the step of calling the RPA robot to periodically collect company risk information on a preset website according to the company information to be screened comprises: Calling the RPA robot to regularly monitor website pages on a preset website; The risk level information, the risk indicator information, the company name information, the registration number information, the legal representative information and the registered capital information corresponding to the company information to be screened are searched and generated in the website page to obtain the company risk information. 4. The method for generating a company risk assessment report according to claim 2, wherein the step of obtaining the information of the company to be screened comprises: Calling the RPA robot to log in to a dedicated mailbox according to a predetermined time interval and preset login information; Searching for the screening application form in the dedicated mailbox; The information of the company to be screened is extracted from the screening application form. 5. The method for generating a company risk assessment report according to claim 1, characterized in that before the step of calling the RPA robot to collect company risk information, the method further comprises: When the script information is obtained, a target RPA tool is selected in the RPA tool library, and the RPA robot is designed according to the script information and the target RPA tool. 6. The method for generating a company risk assessment report according to claim 1, wherein the step of extracting target results from the risk assessment results according to preset screening conditions comprises: Calculate the impact, probability of occurrence, urgency, and resource requirements corresponding to each of the risk assessment results to obtain each risk assessment item; According to the preset screening conditions and the risk assessment items, target results are extracted from each of the results to be screened. 7. The method for generating a company risk assessment report according to claim 1, wherein the step of performing a risk assessment operation on the company risk information to obtain a risk assessment result comprises: Calling the risk assessment model, analyzing the risk level information and the risk indicator information, and obtaining target indicator information with greater risk in the risk indicator information; Furthermore, the risk assessment model is called to perform verification operations on the company name and the registration number to obtain authenticity verification results, business abnormality information, and legal dispute information; Furthermore, the risk assessment model is called to analyze the legal representative information to obtain professional background and credit record information; Furthermore, calling the risk assessment model, analyzing the registered capital and the company domain information, and obtaining matching information of the business scale corresponding to the registered capital and the company domain information; The target indicator information, authenticity verification results, operational anomaly information, legal dispute information, professional background, credit record information, and matching information are integrated to obtain a risk assessment result. 8. A device for generating a company risk assessment report, characterized in that it includes a memory and a processor, and the processor is used to execute program instructions stored in the memory to implement the method for generating a company risk assessment report as described in any one of claims 1 to 7. 9. A server, characterized in that it comprises a memory and a processor, wherein the processor is used to execute program instructions stored in the memory to implement the method for generating a company risk assessment report as described in any one of claims 1 to 7. 10. A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for generating a company risk assessment report according to any one of claims 1 to 7 is implemented.